:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dantas, Cassio F., Gaetano, Raffaele, Paris, Claudia, Ienco, Dino
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2404.11114
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
by: Dantas, Cassio F., et al.
Published: (2024)

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning
by: Ienco, Dino, et al.
Published: (2024)

Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
by: Mena, Francisco, et al.
Published: (2025)

Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping
by: Ghassemi, Babak, et al.
Published: (2025)

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
by: Aniraj, Ananthu, et al.
Published: (2024)

Two-stage Vision Transformers and Hard Masking offer Robust Object Representations
by: Aniraj, Ananthu, et al.
Published: (2025)

Coarse-to-Fine Concept Bottleneck Models
by: Panousis, Konstantinos P., et al.
Published: (2023)

Towards a multimodal framework for remote sensing image change retrieval and captioning
by: Ferrod, Roger, et al.
Published: (2024)

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation
by: Ferrod, Roger, et al.
Published: (2025)

Metonymy in vision models undermines attention-based interpretability
by: Aniraj, Ananthu, et al.
Published: (2026)

Fire severity and recovery across Europe: insights from forest diversity and landscape metrics
by: Amin, Eatidal, et al.
Published: (2025)

IndiSeek learns information-guided disentangled representations
by: Gui, Yu, et al.
Published: (2025)

Understanding normalization in contrastive representation learning and out-of-distribution detection
by: Le-Gia, Tai, et al.
Published: (2023)

SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
by: Jain, Pallavi, et al.
Published: (2024)

How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
by: Kerner, Hannah, et al.
Published: (2023)

Time-series attribution maps with regularized contrastive learning
by: Schneider, Steffen, et al.
Published: (2025)

Quantum feature-map learning with reduced resource overhead
by: Jäger, Jonas, et al.
Published: (2025)

Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
by: Nguyen, Son, et al.
Published: (2023)

Sparsity regularization via tree-structured environments for disentangled representations
by: Layne, Elliot, et al.
Published: (2024)

Winner-Take-All bottlenecks enforce disentangled symbolic representations in multi-task learning
by: Gutheil, Julian, et al.
Published: (2026)

Deep autoregressive modeling for land use land cover
by: Krapu, Christopher, et al.
Published: (2024)

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling
by: Yi, Jiaxiang, et al.
Published: (2025)

Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
by: Mohammadi, Hadi, et al.
Published: (2025)

Uncovering hidden geometry in Transformers via disentangling position and context
by: Song, Jiajun, et al.
Published: (2023)

Superposition disentanglement of neural representations reveals hidden alignment
by: Longon, André, et al.
Published: (2025)

An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024)

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error
by: Gross, Markus
Published: (2026)

Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition
by: Foley, Sean, et al.
Published: (2025)

Sparse deepfake detection promotes better disentanglement
by: Teissier, Antoine, et al.
Published: (2025)

An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)

Reducing the labeling burden in time-series mapping using Common Ground: a semi-automated approach to tracking changes in land cover and species over time
by: Singh, Geethen, et al.
Published: (2026)

Deep Ritz method with Fourier feature mapping: A deep learning approach for solving variational models of microstructure
by: Mema, Ensela, et al.
Published: (2025)

Uniting contrastive and generative learning for event sequences models
by: Yugay, Aleksandr, et al.
Published: (2024)

Optimizing contrastive learning for cortical folding pattern detection
by: Gaudin, Aymeric, et al.
Published: (2024)

Universal hidden monotonic trend estimation with contrastive learning
by: Pineau, Edouard, et al.
Published: (2022)

An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
by: Bilson, Samuel, et al.
Published: (2025)

Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
by: Tsuchida, Russell, et al.
Published: (2024)

A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models
by: Harvey, David
Published: (2024)

A theoretical framework for self-supervised contrastive learning for continuous dependent data
by: Marusov, Alexander, et al.
Published: (2025)

From $t$-SNE to UMAP with contrastive learning
by: Damrich, Sebastian, et al.
Published: (2022)